Machine Learning — Data Analysis

Sunil Kumar
2 min readMar 22, 2022

Series :1

Introduction

As we know Data is new oil which is run the world to take all kind decision across all the domains. AI ML used to handle large chunk of data to derive the insight in meaning ful way.

Artificial intelligence (AI) is a technical mix, and machine learning (ML) is one of the most important techniques in highly personalized marketing.

AI ML presupposes that the system is re-assessed and the data is reassessed without human intervention. It is all about shifting. Just as AI means, for every possible action, that a human programmer does not have to code, AI machine programming can evaluate and test data to replicate every customer product with the speed and capacity that no one can attain.

The technology we have been using has been around for a long time, but the influence of machines, cloud-based services, and the applicability of AI on our position as marketers have changed in recent years.

Different information and data orientation contribute to a variety of technical improvements.

This series we will focuses on the use of large amounts of information that enables a computer to carry out a non-definitive analysis based on project understanding.

We will also focuses on data collection and helps to ensure that data analysis is prepared.

Which helps us defines such data analytics processes for prediction and analysis using ML algorithms.

Basic of ML https://medium.com/@neel4r/machine-learning-data-analysis-94da3af0b3a6

Note:- Referred resource are given below.

Reference:

https://www.amazon.in/Machine-Learning-Approach-Cloud-Analytics-ebook/dp/B099M97QK9/ref=nav_signin?crid=FWYBPZIAEIWU&keywords=Machine+Learning+Approach+for+Cloud+Data+Analytics+in+IoT&qid=1647928271&sprefix=machine+learning+approach+for+cloud+data+analytics+in+iot%2Caps%2C516&sr=8-1&

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